Real-time systems like pervasive computing have to complete executing a task within the predetermined time while ensuring that the execution results are logically correct. Such systems require intelligent scheduling methods that can adequately promptly distribute the given tasks to a processor(s). In this paper, we propose LSTR (Least Slack Time Rate first), a new and simple scheduling algorithm, for a multi-processor environment, and demonstrate its efficient performance through various tests.
dc.language
eng
dc.relation.ispartofseries
J.UCS : the journal of universal computer science
dc.title
Least Slack Time Rate First: an Efficient Scheduling Algorithm for Pervasive Computing Environment